1

Data Processor Jobs in Dallas, TX (NOW HIRING)

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

* Design and implement data pipelines on Google Cloud Platform to support data processing and analytics * Optimize and monitor data pipelines for performance and reliability * Collaborate with data ...

Data Engineer

Irving, TX

$109K - $132K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

JD: • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta Lake ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Proficiency in SQL, Python, or other programming languages for data processing and automation Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Develop and maintain efficient data processing architectures to support real-time data ingestion and transformation. * Develop and maintain an ontology model to represent relationships between ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Develop high-performance data processing solutions using PySpark and distributed computing frameworks * Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean ...

Data Engineer

Plano, TX

$110K - $132K/yr

Develop high-performance data processing solutions using PySpark and distributed computing frameworks * Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean ...

Data Engineer

Plano, TX · Hybrid

$110K - $132K/yr

The ideal candidate will have a strong understanding of data processing, API development, and data pipeline construction. Key Responsibilities: * Build and maintain APIs to support enterprise-wide ...

Sr Data Engineer

Irving, TX

$109K - $132K/yr

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes. Architect data warehousing solutions using Azure Synapse Analytics for efficient ...

Data Modeler

Richardson, TX · On-site

$49.75 - $64.50/hr

... processing scripts - Familiarity with big data technologies - Use of data modeling tools (e.g., Erwin, PowerDesigner) - Domain Experience: - Deep understanding of healthcare data (claims, EMR/EHR ...

Maintain and update documentation for data processes, systems, and reports. Contribute to improving data processes, ensuring accuracy, and following best practices. Required Skills & Experience: 0-2 ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Design, develop, and maintain scalable ETL/ELT pipelines to support data processing and analytics. * Automate data ingestion and transformation workflows using APIs, scripting, and orchestration ...

next page

Showing results 1-20

Data Processor information

See Dallas, TX salary details

$11

$18

$32

How much do data processor jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data processor in Dallas, TX is $18.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
What are popular job titles related to Data Processor jobs in Dallas, TX? For Data Processor jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Dallas, TX look for? The top searched job categories for Data Processor jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Processor jobs? Cities near Dallas, TX with the most Data Processor job openings:
Infographic showing various Data Processor job openings in Dallas, TX as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,402 per year, or $18.9 per hour.

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Irving, TX • On-site

$109K - $132K/yr

Full-time

Posted 22 days ago


Job description

Job Title Azure Data Engineer
Location Irving TX onsite
Desired Skills
1Possess a minimum of 5 years of experience in data engineering and development
2Strong experience in designing and implementing data solutions using Azure data services Azure Databricks Azure Data Lake Azure Synapse Analytics Azure Data Factory
3Have a strong background in Retail CPG domain
4Proficiency in SQL TSQL and data modelling techniques
5Experience with PySpark and orchestration tools like Apache Airflow are highly desirable
6Hands on experience with scripting languages such as Python for data processing and manipulation
7Strong analytical and problemsolving skills
8Excellent communication and interpersonal skills with ability to work effectively in a collaborative team environment
9Knowledge on Databricks Unity Catalog and visualization tools like Power BI is a plus
Roles and responsibilities
1Develop and optimize data workflows using PySpark ADLS and Databricks workflows to support business objectives
2Implement and maintain data pipelines to ensure efficient data processing and storage
3Collaborate with crossfunctional teams to gather requirements and deliver data solutions that meet business needs
4Provide technical expertise in the design and implementation of data solutions ensuring scalability and performance
5Monitor and troubleshoot data workflows to ensure reliability and accuracy of data processing
6Apply Spark in Python for advanced data processing and analytics
7Build automation solutions and utilities to eliminate manual efforts and repetitive tasks
8Utilize Databricks SQL for effective data management and querying
9Implement monitoring solutions in Azure to track resource utilization performance and health of data workflows
10Manage and organize data assets using Databricks Unity Catalog
11Leverage Azure DevOps for continuous integration and deployment of data solutions
12Secure data workflows using Azure Key Vault and ensure compliance with data security standards